SO.LRT

<code>SO.LRT</code> computes the likelihood ratio test statistic for stochastic
ordering against equality assuming marginal compatibility for both
alternatives. Note that this statistic does not have a
\(\chi^2\) distribution, so the p-value computation is not
straightforward. The <code>SO.trend.test</code> function implements a
permutation-based evaluation of the p-value for the likelihood-ratio test.

htest

nonparametric

Implements non-parametric analyses for clustered
binary and multinomial data. The elements of the cluster are assumed
exchangeable, and identical joint distribution (also known as marginal
compatibility, or reproducibility) is assumed for clusters of different
sizes. A trend test based on stochastic ordering is implemented.
Szabo A, George EO. (2010) <doi:10.1093/biomet/asp077>;
George EO, Cheon K, Yuan Y, Szabo A (2016) <doi:10.1093/biomet/asw009>.

Aniko Szabo

CorrBin

Nonparametrics with Clustered Binary and Multinomial Data

SO.LRT function

<dl><dt>cbdata</dt>
<dd>a <code>CBData</code> object</dd>
<dt>control</dt>
<dd>an optional list of control settings, usually a call to
<code>soControl</code>. See there for the names of the settable control
values and their effect.</dd></dl>

Arguments

Author

Likelihood-ratio test statistic — SO.LRT

<dl>

<dt>cbdata</dt>
<dd>a <code>CBData</code> object</dd>


<dt>control</dt>
<dd>an optional list of control settings, usually a call to
<code>soControl</code>. See there for the names of the settable control
values and their effect.</dd>

</dl>

SO.LRT: Likelihood-ratio test statistic

Description

Usage

Value

Arguments

Author

See Also

Examples